fact-finder
Intelligent question answering system based on knowledge graph.
Product Details
Fact Finder is an open source intelligent question answering system that uses language models and knowledge graphs to generate natural language answers and provide evidence. The system generates Cypher queries by calling a language model, queries the knowledge graph for answers, and uses another language model call to generate the final natural language answer. Key benefits of Fact Finder include its ability to provide transparency, allowing users to view queries and evidence, and providing intuitive evidence through visual subgraphs.
Main Features
How to Use
Target Users
The target audience is primarily developers and data scientists who need to build or use intelligent question answering systems to improve the accuracy and efficiency of information retrieval. Fact Finder is suitable for them because it provides a way to combine natural language processing and knowledge graphs to generate accurate and evidence-backed answers.
Examples
Developers use Fact Finder to integrate into their own applications to provide question and answer functions based on knowledge graphs.
Data scientists use Fact Finder to analyze large-scale data sets, extract and verify information.
Educational institutions use Fact Finder as a teaching tool to help students understand complex concepts and data.
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